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Digital twins, virtual simulations of real-world scenarios, are essential for advancing Autonomous Network (AN) Architectures. By being able to provide a replica of the physical telecoms network and throughout its lifecycle, digital twins help Communications Service Providers (CSPs) visualize network assets, plan changes, and test new services before deployment, reducing risk, cost, and service disruption.
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Digital twin networks can help CSPs better understand the timeframes, processes and resources required for autonomous network implementation, risk of service interruption and reduce much of the uncertainty about the impact of AN use cases on the network.”
|---Module:text|Size:Small---| To provide clarity and actionable insights, Celfocus, in collaboration with ZTE, has partnered with TM Forum and Richard Webb, Senior Analyst, to develop this exclusive market research, designed to detail the role digital twins can play in supporting CSPs’ ambitions to make their networks more autonomous.
As a key area for Celfocus, we know that future of telecommunications is all about smarter, more efficient, and autonomous networks. But how can we accelerate this transformation? This report explores how network digital twins enhance resource visualization, real-time monitoring, operational efficiency, and cost/energy savings. It also examines their role in technology upgrades, AI integration, and supporting autonomous network implementation through closed-loop and intent-driven automation.
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|---Module:text|Size:Small---| The report delivers insights in:
- How network digital twins can help CSPs with resource, process and workflow visualization?
- How CSPs can use digital twins to monitor network operations in real time to enhance operational efficiency, reduce downtime and maintenance costs, and deliver cost/energy reductions?
- The advantages of digital twins for planning technology change and upgrades in the network, such as reducing the risk of adverse customer impact.
- The relationship between digital twins and AI / generative AI and the importance of data in building accurate digital twin models.
- How digital twin networks can help drive autonomous network implementation?
|---Module:text|Size:Small---| Digital Twins are revolutionising autonomous networks, driving operational efficiency and innovation. Curious to know more? Dive in full report here.
